Emergent Labs

Emergent Labs Inc. operates an AI-powered platform that enables users to build full-stack, production-ready applications using natural language prompts. The San Francisco-based company, which participated in the Y Combinator Summer 2024 batch, was founded in 2024 by twin brothers Mukund Jha (CEO) and Madhav Jha (CTO). Mukund Jha was previously the co-founder and CTO of Dunzo, a quick-commerce company in India, while Madhav Jha holds a PhD in Theoretical Computer Science and was a founding member of the Amazon Sagemaker team.

The company's core technology utilizes a multi-agent system where specialized AI agents collaborate to handle the entire software development lifecycle. These agents manage frontend design, backend logic, database architecture, testing, debugging, and deployment, effectively abstracting the technical complexities from the user. Users describe their desired application in a chat-based interface, and the agents autonomously generate, test, and ship the software. The platform is designed for both non-technical users, such as entrepreneurs and business owners, and experienced developers looking to automate repetitive tasks.

Emergent's business model is subscription-based, with revenue generated through tiered plans and credits that are consumed for actions like coding, debugging, and deployment. Paid plans for individuals and businesses offer varying levels of features, including increased security and collaboration tools. The company reports significant early traction, achieving $15 million in annual recurring revenue (ARR) and attracting over one million users within months of its general availability in June 2025.

In September 2025, Emergent announced it had raised a $23 million Series A round led by Lightspeed Venture Partners, bringing its total funding to $30 million. Other investors include Y Combinator, Prosus, and several angel investors. The company's AI agents have achieved high rankings on SWE-Bench, a leading benchmark for evaluating AI systems on real-world software engineering tasks.

Keywords: agentic AI, autonomous coding, no-code development, AI application builder, software development automation, full-stack application generation, AI agents, natural language software creation, Y Combinator, code generation, text-to-app, vibe coding, automated deployment, AI developer tools, software engineering AI, production-ready apps, AI-powered development, application modernization, legacy code migration, AI-native workspace